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本文引用的文献

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COMPETITION BETWEEN HIGH AND LOW MUTATING STRAINS OF ESCHERICHIA COLI.大肠杆菌高突变株与低突变株之间的竞争
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The distribution of fitness effects of new mutations.新突变的适合度效应分布。
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Complete genetic linkage can subvert natural selection.完全的基因连锁会颠覆自然选择。
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Mutator Factor in Salmonella Typhimurium.鼠伤寒沙门氏菌中的诱变因子。
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6
Evolutionarily stable mutation rate in a periodically changing environment.在周期性变化的环境中进化稳定的突变率。
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Evolution of mutation rates in bacteria.细菌中突变率的演变。
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8
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9
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Science. 2006 Mar 17;311(5767):1615-7. doi: 10.1126/science.1122469.
10
The influence of hitchhiking and deleterious mutation upon asexual mutation rates.搭便车效应和有害突变对无性突变率的影响。
Genetics. 2006 May;173(1):461-72. doi: 10.1534/genetics.105.049445. Epub 2006 Feb 19.

有限无性种群中稀有突变体的固定概率。

The fixation probability of rare mutators in finite asexual populations.

作者信息

Wylie C Scott, Ghim Cheol-Min, Kessler David, Levine Herbert

机构信息

Center for Theoretical Biological Physics, University of California, San Diego, CA 92093, USA.

出版信息

Genetics. 2009 Apr;181(4):1595-612. doi: 10.1534/genetics.108.094532. Epub 2009 Jan 19.

DOI:10.1534/genetics.108.094532
PMID:19153261
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2666523/
Abstract

A mutator is an allele that increases the mutation rate throughout the genome by disrupting some aspect of DNA replication or repair. Mutators that increase the mutation rate by the order of 100-fold have been observed to spontaneously emerge and achieve high frequencies in natural populations and in long-term laboratory evolution experiments with Escherichia coli. In principle, the fixation of mutator alleles is limited by (i) competition with mutations in wild-type backgrounds, (ii) additional deleterious mutational load, and (iii) random genetic drift. Using a multiple-locus model and employing both simulation and analytic methods, we investigate the effects of these three factors on the fixation probability Pfix of an initially rare mutator as a function of population size N, beneficial and deleterious mutation rates, and the strength of mutations s. Our diffusion-based approximation for Pfix successfully captures effects ii and iii when selection is fast compared to mutation (micro/s<<1). This enables us to predict the conditions under which mutators will be evolutionarily favored. Surprisingly, our simulations show that effect i is typically small for strong-effect mutators. Our results agree semiquantitatively with existing laboratory evolution experiments and suggest future experimental directions.

摘要

突变基因是一种通过破坏DNA复制或修复的某些方面来提高整个基因组突变率的等位基因。已经观察到,使突变率提高100倍左右的突变基因会在自然种群以及大肠杆菌的长期实验室进化实验中自发出现并达到高频。原则上,突变基因等位基因的固定受到以下因素限制:(i)与野生型背景中的突变竞争;(ii)额外的有害突变负荷;(iii)随机遗传漂变。我们使用多基因座模型并采用模拟和分析方法,研究这三个因素对初始稀有突变基因固定概率Pfix的影响,该概率是种群大小N、有益和有害突变率以及突变强度s的函数。当选择比突变快(微/秒<<1)时,我们基于扩散的Pfix近似成功捕捉到了影响因素ii和iii。这使我们能够预测突变基因在进化上受到青睐的条件。令人惊讶的是,我们的模拟表明,对于强效应突变基因,影响因素i通常较小。我们的结果与现有的实验室进化实验半定量一致,并提出了未来的实验方向。